Quantum Error Correction Research Scientist Intern - Fall 2026
At a glance
AI generatedTL;DR
Join the Quantum Error Correction Research team at NVIDIA as a research intern to develop cutting-edge automated pipelines for discovering and designing high-performance quantum error correction codes. You will leverage AI and automation techniques to identify novel quantum error correcting codes that optimize performance across various metrics, while also building bespoke machine learning models tailored to code design and developing decoders for topological and QLDPC codes. Your work will involve integrating classical machine learning methods with hardware constraints to evaluate the effectiveness of fault-tolerant circuits in real-world quantum systems. Ideal candidates are pursuing a Master’s or PhD in Physics, Electrical/Computer Engineering, Computer Science, or related fields, with expertise in quantum computing fundamentals, coding theory, and experience with Python, tensor networks, and NVIDIA’s cuQuantum software suite.
Skills
What you'll do
- Develop automated protocols for discovering high-performance quantum error correcting codes.
- Use AI and automation to identify novel quantum error correction schemes across various metrics.
- Integrate classical machine learning methods to build bespoke models for code design and decoders.
- Identify and evaluate high-performance error correcting codes considering hardware constraints.
- Analyze fault-tolerant circuits implementing quantum error correction logic using simulation tools.
What we're looking for
- Pursuing a Master's or PhD in Physics, Electrical/Computer Engineering, Computer Science, or related field.
- Strong background in quantum computing fundamentals and error correction techniques.
- Proficiency in Python or similar scientific programming language.
- Experience with tensor network methods for quantum circuit simulation.
- Hands-on experience with neural network-based quantum error correction decoders.
- Familiarity with qubit loss, leakage, and non-Pauli noise mechanisms.
- GPU-accelerated simulation experience using cuQuantum or CUDA-Q.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 825 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 813 roles with salary data.
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